Module Code - Title:

EC4044 - APPLIED ECONOMIC ANALYSIS

Year Last Offered:

2025/6

Hours Per Week:

Lecture

2

Lab

1

Tutorial

0

Other

0

Private

7

Credits

6

Grading Type:

N

Prerequisite Modules:

EC4101

EC4102

EC4004

Rationale and Purpose of the Module:

This module broadens and deepens the knowledge of intermediate micro and macro economics gained from EC4004, Economics for Business, as well as introducing key tools for applied analysis of economic data.

Syllabus:

The objective of this module is to deepen and broaden students' knowledge from the intermediate micro and macroeconomics learned in EC4004. Lectures:Week 1 Consumer Theory Week 2 Producer Theory Week 3. Markets, exchange Week 4. General Equilibrium, Computable General Equilibrium Week 5. Game theory and Policy Week 6. Assymetric Information Week 7. Long Run 1: The "Solow Model" with Human Capital Week 8. Long Run 2: The Ramsey Problem Week 9: Medium and Short Run: IS/MP/PC Model with uncertainty Week 10: Policy Application: Open economies in monetary unions Week 11: Policy Application: funding pension systems in ageing societies Week 12: Policy Application: Hyperinflations, deflations. Labs: Weeks 3-6, mathematical prerequisites, 7-9, Data-based labs, 9-11, writing workshops.

Learning Outcomes:

Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)

• Knowledge: understanding intermediate modeling and economic reasoning of applied topics. • Application of these theories to real world data. • Evaluation of real world data using tools taught in lectures and lab • Identification and analysis of a problem within the framework of economic models. • Evaluate, critique and formulate solutions to an identified economic problem. • Applying tools of dynamic analysis in research.

Affective (Attitudes and Values)

N/A

Psychomotor (Physical Skills)

N/A

How the Module will be Taught and what will be the Learning Experiences of the Students:

This module will be taught using real world case studies, showing how the theory applies to a range of economic situations. Students will also be equipped with mathematical and statistical tools through the lab sessions, and bring data to the theory in written work, as well as becoming articulate in these matters through written submissions on topics they choose to write about, which will encourage proactivity and innovative behaviour .

Research Findings Incorporated in to the Syllabus (If Relevant):

Prime Texts:

Nick Huntington-Klein (2022) The Effect An Introduction to Research Design and Causality , Routledge

Ethan Bueno de Mesquita and Anthony Fowler (2025) Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis , Princeton University Press

Other Relevant Texts:

Programme(s) in which this Module is Offered:

BBBUSTUFA - BUSINESS STUDIES

BBBSFRUFA - FRENCH

BBBSGEUFA - GERMAN

BBBSJAUFA - JAPANESE

BAECSOUFA - Economics and Sociology

Semester(s) Module is Offered:

Spring

Module Leader:

vincent.osullivan@ul.ie